AI Forward Deployed Engineer
Tech Inc
San Jose, CA, United States
3 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Artificial Intelligence
Amazon Web Services
Microsoft Azure
Cloud Computing
Python (Programming Language)
Operational Databases
Software Engineering
SQL Databases
TypeScript
Google Cloud
Enterprise Software Applications
+7 more
Large Language Models
Multi-Agent Systems
Generative AI
Kubernetes
HuggingFace
Api Management
Docker
Job description
- Client-Embedded Execution: Work shoulder-to-shoulder with strategic enterprise customers to deploy AI capabilities directly into their live production systems.
- AI System Integration: Build and scale Retrieval-Augmented Generation (RAG) pipelines, multi-agent orchestrations, and API integrations connecting LLMs to internal databases and enterprise software.
- Evaluations & Optimization: Create testing and evaluation frameworks to minimize hallucinations, measure model performance, track observability, and drive cost efficiencies.
- Feedback Loop: Translate custom client deployment hurdles and recurring field requirements back into core product and model roadmaps.
Requirements
- Engineering Stack: 3 5+ years of software development experience using Python, TypeScript, and SQL alongside full-stack system design.
- AI Tooling: Hands-on experience with frameworks like LangChain, LangGraph, HuggingFace, vector databases, and model APIs (OpenAI, Anthropic, or similar).
- Cloud & Infrastructure: Familiarity with deploying secure workloads via AWS, Azure, Google Cloud Platform, Docker, and Kubernetes within client environments.
- Communication & Ambiguity: Exceptional stakeholder management skills to translate vague business problems into structured technical scope under pressure
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